Recently, chatbots have been explored a lot in the health management context. However, their use in collaborative health data collection within the family remains underexplored, as most chatbots focus on tailoring experiences for single users. Thus, we aim to identify the role of the chatbot in supporting children's and parents’ needs in collaborative health management and empowering family-based tracking.

We aim to understand how a chatbot could facilitate or mediate collaborative health tracking between children with T1D and their parents. 

Toward this goal, we conducted two series of co-design workshops with 20 participants (10 child-parent pairs), each session lasting 90 minutes.   

• Workshop 1 (Exploratory co-design workshop): This was the exploratory phase, where we aimed to gather creative ideas and identify low-fidelity design directions for the virtual character and its role in T1D tracking and collaboration. The primary activity involved hands-on drawing activities and group discussions. 

• Workshop 2 (Prototype feedback workshop): This was the refinement and evaluation phase, which focused on refining and evaluating prototype designs developed based on the insights from the first workshop. It was a feedback-focused session, primarily collecting written responses to provide prototypes and designs to gather reactions and suggestions for improvement.